TU Darmstadt / ULB / TUbiblio

Human Perception Measures for Product Design and Development - A Tutorial to Measurement Methods and Analysis

Hatzfeld, Christian ; Kühner, Manuel ; Söllner, Stefan ; Khanh, Tran Quoc ; Kupnik, Mario (2017)
Human Perception Measures for Product Design and Development - A Tutorial to Measurement Methods and Analysis.
In: Multimodal Technologies and Interaction, 1 (4)
doi: 10.3390/mti1040028
Article, Bibliographie

This is the latest version of this item.

Abstract

This tutorial describes the necessary steps for designing and conducting a perception experiment in order to obtain design parameters for human–machine interactions. It is intended for engineers and product designers, which require design parameters not included in the current state of the art. Topics addressed are the preposition of hypotheses, the selection of parameters, psychophysical measurement procedures and the calculation of sample sizes. Relevant steps for data analysis from psychology and social sciences are applied to the engineering and design context and guidelines for reporting results are given. The required steps are illustrated with an example experiment assessing detection thresholds of damping parameters of haptic automotive rotary controls with regard to parameters like knob diameter and distraction. Results imply significant effects of knob diameter on both absolute and differential thresholds, but no effect of distraction, implying a good transferability of laboratory results to real-world applications

Item Type: Article
Erschienen: 2017
Creators: Hatzfeld, Christian ; Kühner, Manuel ; Söllner, Stefan ; Khanh, Tran Quoc ; Kupnik, Mario
Type of entry: Bibliographie
Title: Human Perception Measures for Product Design and Development - A Tutorial to Measurement Methods and Analysis
Language: English
Date: 31 October 2017
Publisher: MDPI
Journal or Publication Title: Multimodal Technologies and Interaction
Volume of the journal: 1
Issue Number: 4
DOI: 10.3390/mti1040028
Corresponding Links:
Abstract:

This tutorial describes the necessary steps for designing and conducting a perception experiment in order to obtain design parameters for human–machine interactions. It is intended for engineers and product designers, which require design parameters not included in the current state of the art. Topics addressed are the preposition of hypotheses, the selection of parameters, psychophysical measurement procedures and the calculation of sample sizes. Relevant steps for data analysis from psychology and social sciences are applied to the engineering and design context and guidelines for reporting results are given. The required steps are illustrated with an example experiment assessing detection thresholds of damping parameters of haptic automotive rotary controls with regard to parameters like knob diameter and distraction. Results imply significant effects of knob diameter on both absolute and differential thresholds, but no effect of distraction, implying a good transferability of laboratory results to real-world applications

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design (dissolved 18.12.2018)
18 Department of Electrical Engineering and Information Technology > Light Technology (from Oct. 2021 renamed "Adaptive Lighting Systems and Visual Processing")
18 Department of Electrical Engineering and Information Technology > Measurement and Sensor Technology
Date Deposited: 06 Nov 2017 12:23
Last Modified: 16 Feb 2024 12:25
PPN:
Export:
Suche nach Titel in: TUfind oder in Google

Available Versions of this Item

Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details